R will soon be the leading coding language in data science and statistics. Many professionals choose to use R in a variety of industries and scientific fields. Not many take the time to learn it because they don�t know its importance for the future. Now is your opportunity to learn this powerful language while it is still in high demand.

In this introductory course, you�ll learn everything that you need to know about R to become a successful data visualisation expert. Each video tutorial is easy to follow along with, and even if you've never worked with R before or don�t have any coding experience, you'll be able to get started immediately. We start off slow, walking through the basics of R and with each lesson, you�ll progressively develop new skills and learn new aspects of R. Over the course of 20 video lessons in R, you�ll learn everything from downloading and installing R to creating your own unique functions and packages.

As you move through the R course, you�ll learn a variety of essential skills that will make you a Data Science professional. After the basics, you�ll learn how to utilise data structures including vectors, matrices, lists, and data frames to create visualisations. Towards the end of the course, you�ll learn to use the advanced graphical capabilities of R.

By no means are these video tutorials meant as a way to passively learn R. Each step of the way, you�ll be tested and will solve real data problems along with instant feedback to guide you to the correct solution if you need help. This is by far the easiest and most accessible way to learn R even if you have no prior experience or knowledge of Data Science of programming. Don't let the world pass you by and learn the data skills that will make you a valuable asset to any company of the future.

What are the requirements?

No prior knowledge of programming is requiredWhat am I going to get from this course?

Getting up and running with R: Download R and get started learning all of the features and the basic syntax.Download and install R and R StudioUpdating R and R StudioAbout components of R and R StudioHow to create vectorsList, Matrices, Data Frames, IF StatementFor and While loopsHow to install dplyr packagerbind() and cbind()How to use R to manipulate data easilyConvert date-time into POSIXct formatImporting and Exporting DataScoping and DebuggingWhat is the target audience?

This course is designed for learners who have never used R beforeIndividuals who want to start their career in data analytics or data science